Self-organized modulation of a neural robot controller

Abstract

We show how a simple layered system can self-organize into a set of distinct states and qualitatively different behaviors as a result of the learning a robotic delayed response task. Our approach is based on an architecture where higher levels are able to dynamically modulate the lower reactive mapping when needed.